DTEC-MAC: Diverse Traffic with Guarantee Energy Consumption for MAC in Wireless Body Area Networks

Wireless body area networks (WBANs) is an innovative technology that has greatly promoted the healthcare monitoring systems. WBANs includes the biomedical sensors that can be worn on or implanted in the body. The sensors monitor the vital signs, and then process the data that is then transmitted to a central server. The biomedical sensors are limited in energy resources and require an improved design in order to manage energy consumption. DTEC-MAC (Diverse Traffic with Energy Consumption-MAC) is proposed in this work based on the priority of data classification in the cluster nodes, and provides the medical data based on energy management. The proposed method uses fuzzy logic based on the distance from the sink and the remaining energy and length of data in other to select the cluster head. The MATLAB software is used in order to simulate the method. This method is compared with similar methods including iM-SIMPLE, M-ATTEMPT, and ERP. The simulation results obtained indicate that it works better to extend the lifetime and guarantee the minimum energy and packet delivery rates, maximizing the throughput.